Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
< 1K
ArXiv:
Tags:
Skill Extraction
License:
metadata
license: cc-by-4.0
task_categories:
- text-classification
language:
- en
tags:
- Skill Extraction
pretty_name: Skill Extraction - TechWolf
size_categories:
- n<1K
Skill Extraction with ESCO skills - TechWolf subset
Dataset Description
- Paper: https://arxiv.org/abs/2307.10778
- Point of Contact: [email protected]
Dataset Summary
The TECHWOLF
subset, although smaller, represents a more generic distribution of job descriptions and skill spans. ESCO skills are directly annotated on the full sentence level, thus omitting the intermediate span identification step. ESCO v1.1.0 is used.
This dataset is part of a three-part evaluation dataset for skill extraction:
Citation Information
If you use this dataset, please include the following reference:
@article{decorte2023extreme,
title={Extreme multi-label skill extraction training using large language models},
author={Decorte, Jens-Joris and Verlinden, Severine and Van Hautte, Jeroen and Deleu, Johannes and Develder, Chris and Demeester, Thomas},
journal={arXiv preprint arXiv:2307.10778},
year={2023}
}